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• W3097096819 endingPage "e05377" @default.
• W3097096819 startingPage "e05377" @default.
• W3097096819 abstract "Walking and running are mechanically and energetically different locomotion modes. For selecting one or another, speed is a parameter of paramount importance. Yet, both are likely controlled by similar low-dimensional neuronal networks that reflect in patterned muscle activations called muscle synergies. Here, we challenged human locomotion by having our participants walk and run at a very broad spectrum of submaximal and maximal speeds. The synergistic activations of lower limb locomotor muscles were obtained through decomposition of electromyographic data via non-negative matrix factorization. We analyzed the duration and complexity (via fractal analysis) over time of motor primitives, the temporal components of muscle synergies. We found that the motor control of high-speed locomotion was so challenging that the neuromotor system was forced to produce wider and less complex muscle activation patterns. The motor modules, or time-independent coefficients, were redistributed as locomotion speed changed. These outcomes show that humans cope with the challenges of high-speed locomotion by adapting the neuromotor dynamics through a set of strategies that allow for efficient creation and control of locomotion." @default.
• W3097096819 created "2020-11-09" @default.
• W3097096819 creator A5010558865 @default.
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• W3097096819 date "2020-10-01" @default.
• W3097096819 modified "2023-10-17" @default.
• W3097096819 title "Lower complexity of motor primitives ensures robust control of high-speed human locomotion" @default.
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• W3097096819 doi "https://doi.org/10.1016/j.heliyon.2020.e05377" @default.
• W3097096819 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7610320" @default.
• W3097096819 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33163662" @default.
• W3097096819 hasPublicationYear "2020" @default.
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• W3097096819 citedByCount "27" @default.

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